Difference between revisions of "Category:Machine Learning"

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==Courses==
 
==Courses==
 
;Udemy
 
;Udemy
 +
* [https://deeplearningcourses.com/course_order Course order]
 
* [https://www.udemy.com/deep-learning-prerequisites-the-numpy-stack-in-python/ (The Numpy Stack in Python)] — 2 hours
 
* [https://www.udemy.com/deep-learning-prerequisites-the-numpy-stack-in-python/ (The Numpy Stack in Python)] — 2 hours
 
* [https://www.udemy.com/data-science-linear-regression-in-python/ Linear Regression in Python] — 3.5 hours
 
* [https://www.udemy.com/data-science-linear-regression-in-python/ Linear Regression in Python] — 3.5 hours
 
* [https://www.udemy.com/data-science-logistic-regression-in-python/ Logistic Regression in Python] — 3 hours
 
* [https://www.udemy.com/data-science-logistic-regression-in-python/ Logistic Regression in Python] — 3 hours
* [https://www.udemy.com/data-science-supervised-machine-learning-in-python/ (Supervised Machine Learning in Python)] — ($120)
+
* [https://www.udemy.com/data-science-supervised-machine-learning-in-python/ (Supervised Machine Learning in Python)] —
* [https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/ (Bayesian Machine Learning in Python: A/B Testing)] — ($120)
+
* [https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/ (Bayesian Machine Learning in Python: A/B Testing)] — 5.5 hours
 
* [https://www.udemy.com/data-science-deep-learning-in-python/ Deep Learning in Python] — 5.5 hours
 
* [https://www.udemy.com/data-science-deep-learning-in-python/ Deep Learning in Python] — 5.5 hours
 
* [https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow/ Practical Deep Learning in Theano and TensorFlow] — 3.5 hours
 
* [https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow/ Practical Deep Learning in Theano and TensorFlow] — 3.5 hours
* [https://www.udemy.com/data-science-supervised-machine-learning-in-python/ (Supervised Machine Learning in Python 2: Ensemble Methods)] — ($120)
+
* [https://www.udemy.com/data-science-supervised-machine-learning-in-python/ (Supervised Machine Learning in Python 2: Ensemble Methods)] —
* [https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/ Convolutional Neural Networks in Python] — ($120)
+
* [https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/ Convolutional Neural Networks in Python] —
* [https://www.udemy.com/data-science-natural-language-processing-in-python/ (Easy NLP)] — ($120)
+
* [https://www.udemy.com/data-science-natural-language-processing-in-python/ (Easy NLP)] — 5.5 hours
* [https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/ (Cluster Analysis and Unsupervised Machine Learning)] — ($120)
+
* [https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/ (Cluster Analysis and Unsupervised Machine Learning)] —
* [https://www.udemy.com/unsupervised-deep-learning-in-python/ Unsupervised Deep Learning] — ($120)
+
* [https://www.udemy.com/unsupervised-deep-learning-in-python/ Unsupervised Deep Learning] —
* [https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/ (Hidden Markov Models)] — ($120)
+
* [https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/ (Hidden Markov Models)] —
* [https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/ Recurrent Neural Networks in Python] — ($120)
+
* [https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/ Recurrent Neural Networks in Python] —
* [https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/ Artificial Intelligence: Reinforcement Learning in Python] — ($180)
+
* [https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/ Artificial Intelligence: Reinforcement Learning in Python] —
* [https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/ Natural Language Processing with Deep Learning in Python] — ($120)
+
* [https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/ Natural Language Processing with Deep Learning in Python] —
 
* [https://www.udemy.com/deep-reinforcement-learning-in-python/ Advanced AI: Deep Reinforcement Learning in Python] — 4 hours
 
* [https://www.udemy.com/deep-reinforcement-learning-in-python/ Advanced AI: Deep Reinforcement Learning in Python] — 4 hours
 
*---
 
*---
* [https://www.udemy.com/machinelearning/ Machine Learning A-Z™: Hands-On Python & R In Data Science] — $200; 37.5 hours
+
* [https://www.udemy.com/deep-learning-advanced-nlp/ Deep Learning: Advanced NLP and RNNs] — 7.5 hours
 +
* [https://www.udemy.com/advanced-computer-vision/ Deep Learning: Advanced Computer Vision] — 6 hours
 +
* [https://www.udemy.com/deep-learning-gans-and-variational-autoencoders/ Deep Learning: GANs and Variational Autoencoders] — 7 hours
 +
* [https://www.udemy.com/machine-learning-in-python-random-forest-adaboost/ Ensemble Machine Learning in Python: Random Forest, AdaBoost] — 5 hours
 +
*---
 +
* [https://www.udemy.com/machinelearning/ Machine Learning A-Z™: Hands-On Python & R In Data Science] — 37.5 hours
  
 
==Deep Learning==
 
==Deep Learning==
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** scikit-learn
 
** scikit-learn
 
** scikit-image
 
** scikit-image
 +
 +
==People to follow==
 +
*[[:wikipedia:Geoffrey Hinton|Geoffrey Hinton]]
 +
 +
==Blog posts==
 +
''Note: The following are blog posts I wrote related to Machine Learning.''
 +
* [https://www.redapt.com/blog/apache-spark-for-machine-learning-part-1 Using Apache Spark for Machine Learning - Part 1]
 +
* [https://www.redapt.com/blog/using-apache-spark-for-machine-learning-part-2 Using Apache Spark for Machine Learning - Part 2]
 +
* [https://www.redapt.com/blog/using-apache-spark-for-machine-learning-part-3 Using Apache Spark for Machine Learning - Part 3]
  
 
[[Category:Technical and Specialized Skills]]
 
[[Category:Technical and Specialized Skills]]

Latest revision as of 18:28, 27 November 2019

Machine learning is the sub-field of computer science that gives computers the ability to learn without being explicitly programmed.

Courses

Udemy

Deep Learning

What Deep Learning is good at
  • Examples of common Deep Learning algorithms
    • Analysis
    • Prediction
    • Recommendation
    • Dectection
    • Classification
    • Segmentation
    • Natural Language Processing (NLP)
  • Use cases
    • Image/video classification
    • Speech recognition
    • NLP
    • Cancer cell detection
    • Drug discovery
    • Video captioning
    • Content-based search
    • Real-time translation
    • Face recognition
    • Video surveillance
    • Cyber security
    • Pedestrian detection
    • Lane tracking
    • Recognize traffic signs

NumPy / Pandas / matplotlib / SciPy

pip install -U numpy scipy matplotlib pandas ipython

People to follow

Blog posts

Note: The following are blog posts I wrote related to Machine Learning.

Pages in category "Machine Learning"

The following 6 pages are in this category, out of 6 total.